import plotly.express as px
import matplotlib.pyplot as plt
import pandas as pd

# Import Iris dataset from scikit-learn
from sklearn.datasets import load_iris

# Load the dataset
iris = load_iris()

# Create a DataFrame
df = pd.DataFrame(data=iris.data, columns=iris.feature_names)
df['target'] = iris.target

# Functioning Plotly graph
fig = px.scatter(df, x='sepal length (cm)', y='sepal width (cm)', color='target', title='Iris Dataset')
fig.show()

# Matplotlib graph
plt.figure(figsize=(8, 6))
plt.scatter(df['petal length (cm)'], df['petal width (cm)'], c=df['target'])
plt.xlabel('Petal Length (cm)')
plt.ylabel('Petal Width (cm)')
plt.title('Iris Dataset')
plt.show()

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